multiocc: An R Package for Spatio-Temporal Occupancy Models for Multiple Species

Spatio-temporal occupancy models are used to model the presence or absence of a species at particular locations and times, while accounting for dependence in both space and time. Multivariate extensions can be used to simultaneously model multiple species, which introduces another dimension to the dependence structure in the data. In this paper we introduce multiocc, an R package for fitting multivariate spatio-temporal occupancy models. We demonstrate the use of this package fitting the multi-species spatio-temporal occupancy model to data on six species of birds from the Swiss MHB Breeding Bird Survey.

Staci Hepler (Department of Statistical Sciences, Wake Forest University) , Robert Erhardt (Department of Statistical Sciences, Wake Forest University)
2024-04-11

0.1 Supplementary materials

Supplementary materials are available in addition to this article. It can be downloaded at RJ-2023-082.zip

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For attribution, please cite this work as

Hepler & Erhardt, "multiocc: An R Package for Spatio-Temporal Occupancy Models for Multiple Species", The R Journal, 2024

BibTeX citation

@article{RJ-2023-082,
  author = {Hepler, Staci and Erhardt, Robert},
  title = {multiocc: An R Package for Spatio-Temporal Occupancy Models for Multiple Species},
  journal = {The R Journal},
  year = {2024},
  note = {https://doi.org/10.32614/RJ-2023-082},
  doi = {10.32614/RJ-2023-082},
  volume = {15},
  issue = {4},
  issn = {2073-4859},
  pages = {37-52}
}

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